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Found 3 papers, 1 papers with code
Panoptic-aware Image-to-Image Translation
The panoptic perception (i. e., foreground instances and background semantics of the image scene) is extracted to achieve alignment between object content codes of the input domain and panoptic-level style codes sampled from the target style space, then refined by a proposed feature masking module for sharping object boundaries.
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
We note that the decoupling of emotional features from other speech information (such as speaker, content, etc.)
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition
Automatic emotion recognition (AER) based on enriched multimodal inputs, including text, speech, and visual clues, is crucial in the development of emotionally intelligent machines.
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